Freelancers using Django in PunjabFreelancers using Django in Punjab
AI Integration & Automation Engineer | Full-Stack Web Apps
$50k+
Earned
63x
Hired
4.9
Rating
94
Followers
AI Integration & Automation Engineer | Full-Stack Web Apps
Expert software developer ⚑️
Expert software developer ⚑️
Full Stack Developer | Agentic Systems | MVP & SaaS Platform
New to Contra
Full Stack Developer | Agentic Systems | MVP & SaaS Platform
Cover image for CTRBoss, Programmatic CTR Optimisation &
CTRBoss, Programmatic CTR Optimisation & Local SEO GeoGrid Rank Tracking SaaS Built an enterprise-grade CTR optimisation and local SEO rank tracking platform for digital marketing agencies combining stealth browser automation, geo-targeted proxy routing, smart traffic scheduling, and geographic GeoGrid rank visualisation into a single fully automated system. Running CTR campaigns at scale is one of the most technically demanding challenges in SEO. Every bot session has to appear indistinguishable from a real human user across browser fingerprint, user agent, proxy IP, search behaviour, and on-site activity. Off-the-shelf automation tools get detected and blocked immediately. Agencies needed a platform that could run hundreds of realistic sessions per day across multiple client campaigns, target specific geographies, and visualise local SEO performance all without manual intervention. CTRBoss is built on Django, Flask microservices, React, Next.js, and PostgreSQL. The core bot engine runs Undetected ChromeDriver with selenium-stealth, removes webdriver flags via Chrome DevTools Protocol, sets device-specific user agents, and routes every session through geo-targeted residential proxies from Geonode and Proxy Empire with country, state, and city-level granularity. For organic search campaigns, the bot types the keyword into Google, locates the client's website across organic results, Knowledge Panel, and paginated SERPs, clicks through, and spends session time on-site with multi-page browsing and gradual scrolling to mimic real human behaviour. Google Maps campaigns use a three-tier detection system covering the Knowledge Panel, the local 3-pack, and full Maps results with pagination. The Django smart scheduler runs every minute implementing time-of-day traffic ramping so sessions are light overnight and peak during business hours, enforcing per-keyword interval rules and daily search limits, pre-verifying proxies before each run, and auto-restarting the Flask bot server on consecutive errors. Up to 12 parallel keyword campaigns run simultaneously across multiple clients. The GeoGrid rank tracker queries DataForSEO's Google Maps SERP API across a coordinate grid producing a visual map showing exactly where a Google Business Profile ranks across its target area and where competitors dominate. Three payment gateways Stripe, PayPal, and Braintree with a credit-based billing system made the platform commercially ready at launch. Tech Stack: Django Β· Flask Β· React Β· Next.js Β· PostgreSQL Β· Celery Β· Redis Β· Selenium Β· Undetected ChromeDriver Β· Playwright Β· Geonode Β· Proxy Empire Β· DataForSEO Β· Stripe Β· PayPal Β· Braintree Β· ApexCharts
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Cover image for Keyword Finder, AI SEO Keyword
Keyword Finder, AI SEO Keyword Research & SERP Intelligence SaaS Built a distributed SEO research platform that expands a single seed keyword into thousands of opportunities combining Google Ads volume data, live SERP analysis, NLP competitor scoring, domain authority metrics, and AI content brief generation into one unified workflow with no CSV exports or tool-switching. SEO agencies were stitching together four or five separate tools a keyword research tool, a SERP analyser, a domain authority checker, an NLP scorer, and a rank tracker and manually reconciling their exports in spreadsheets. Scaling that workflow across multiple clients and thousands of keywords every month was unsustainable. Keyword Finder is built on Django 5, FastAPI, Flask microservices, React 18, and GPT-4o. The platform supports 4 keyword generation modes β€” Seed, URL, Competitor, and Bulk. In Seed mode it builds prefix, suffix, and alpha combination lists, fires them to Google Autocomplete in parallel with rotating proxies, then runs a second deep expansion round before fetching volume, CPC, and competition data from the Google Ads API via OAuth2. SERP analysis jobs are distributed across a dedicated Flask scraping microservice fleet with round-robin load balancing and a four-tier fallback chain direct, Bright Data, scraping.narf.ai (http://scraping.narf.ai), and CrawlBase β€” ensuring near-100% page retrieval success regardless of target site protection. Each competitor URL is processed through a full NLP pipeline using YAKE and NLTK, with domain authority pulled from Moz and Majestic via DomDetailer and cached locally to avoid redundant API calls. The Ranking Recipe lets agencies define custom Easy, Medium, Hard, and Easiest thresholds across 12 metrics turning keyword prioritisation from guesswork into a data-driven decision. AI content briefs are generated using GPT-4o and Cohere with full keyword context, cutting brief writing time from hours to minutes. Real-time job progress is delivered via Django Channels WebSockets, with Celery and Redis managing the async scraping queue. Supports 200+ Google country domains for multi-market research. Tech Stack: Django Β· FastAPI Β· Flask Β· React Β· GPT-4o Β· LangChain Β· Celery Β· Redis Β· PostgreSQL Β· Google Ads API Β· Bright Data Β· YAKE Β· NLTK Β· Moz Β· Majestic Β· Material UI Β· Redux
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Cover image for WriteWave, Enterprise AI Content Automation
WriteWave, Enterprise AI Content Automation SaaS for Agencies Built an end-to-end AI content automation platform for digital marketing agencies covering everything from SERP competitor research and NLP keyword extraction through AI article generation, image creation, schema injection, and auto-publishing to 10+ CMS platforms, all with zero manual steps between brief and live URL. Agencies managing content for multiple clients were stuck repeating the same manual workflow for every article SERP research, keyword extraction, writing, sourcing images, adding schema, scheduling, and publishing across dozens of clients. Scaling to hundreds of articles per month was operationally impossible without full automation. WriteWave is a multi-tenant agency SaaS built on Django 5, Celery, React 18, and GPT-4o. The platform offers 8 distinct article generation modes including a one-click engine that scrapes top SERP competitors, extracts NLP keywords via YAKE and NLTK, builds an optimised outline, generates full HTML content, creates AI images per section, injects internal links from sitemap crawls, adds DoFollow and NoFollow external links, embeds YouTube videos, and scores every article from 0 to 100 against NLP targets. A reading-level humanisation system adjusts vocabulary complexity from Grade 5 through college graduate. The standout feature is an Agentic AI Journalist powered by VAPI an AI phone agent that autonomously calls real human experts, conducts a structured interview, transcribes the conversation, and generates a complete publishable article from the transcript. Agencies get genuinely expert-sourced content at scale without journalist hours. Business Profile articles pull live Google reviews, Maps photos, and inject JSON-LD LocalBusiness schema automatically. All 10+ publishing integrations β€” WordPress, Shopify, LinkedIn, Wix, Squarespace, Medium, and more β€” adapt HTML per platform so no manual reformatting is ever needed. Real-time article generation progress is delivered via Django Channels WebSockets, with Celery and Redis handling async workloads at agency scale. Tech Stack: Django Β· React Β· GPT-4o Β· LangChain Β· Celery Β· Redis Β· PostgreSQL Β· VAPI Β· OpenAI Β· NLTK Β· Material UI Β· TipTap Β· Redux
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Cover image for SlateDesk, Film & TV Talent
SlateDesk, Film & TV Talent Submission Management Platform Built a dual-role SaaS platform for the entertainment industry that replaces chaotic email chains and spreadsheets with a structured, auditable talent submission system for film and TV production. Production executives at studios and production companies were managing hundreds of talent submissions manually PDF reels, cover letters, and talent bios arriving via email with no unified tracking. There was no visibility for agents or managers on the other side, and no scalable way to shortlist, schedule meetings, or export reports. SlateDesk is a full-stack web application built on Django 5, React, Redux, PostgreSQL, and Material UI designed around two distinct user roles: Executives and Representatives. The platform features a 14-stage submission workflow with full timestamped status lifecycle, UUID-based public submission URLs with configurable caps so agents can submit without creating an account, an internal deal pipeline with weekend-read flags and shortlist tracking, meeting scheduling with rich-text emails, contact management with tag-based segmentation and bulk CSV import, and Stripe subscription tiers enforcing workspace limits at the application layer. SlateDesk gave both sides of the entertainment industry a purpose-built workspace. Executives gained full visibility across all active projects with exportable filtered reports. Representatives could track every submission they made and see any notes executives chose to share publicly. The public link system enabled executives to onboard any agent or manager instantly without account friction. Tech Stack: Django Β· React Β· Redux Β· PostgreSQL Β· Python Β· Material UI Β· Stripe Β· JWT Auth Β· REST API
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Top Rated Plus Freelancer & Top 1% Talent
$5k+
Earned
2x
Hired
5.0
Rating
14
Followers
Top Rated Plus Freelancer & Top 1% Talent
Web App developer building modern apps and SaaS solutions
5.0
Rating
1
Followers
Web App developer building modern apps and SaaS solutions
Senior Full-Stack (RoR, Python, Node, PHP) Developer
5.0
Rating
6
Followers
Senior Full-Stack (RoR, Python, Node, PHP) Developer
Full Stack Web and Mobile Developer 10 years of experience
Full Stack Web and Mobile Developer 10 years of experience
A senior full-stack developer and AI/ML specialist
A senior full-stack developer and AI/ML specialist
Cover image for VendorInvoiceHub (VIH) is an enterprise-grade
VendorInvoiceHub (VIH) is an enterprise-grade SaaS platform built to streamline vendor invoice acquisition, processing, and contract cost validation for retail chains and convenience store operators. The platform eliminates manual invoice reconciliation by automating invoice ingestion, extracting line-item data, and validating vendor pricing against negotiated contracts. This helps businesses detect overbilling, reduce operational overhead, and gain full transparency into vendor performance while managing multiple organizations within a secure multi-tenant environment. Designed for finance teams, store managers, and operations leaders, VendorInvoiceHub provides a centralized system to manage invoices, vendors, stores, and pricing agreements in one place. The platform supports high-volume invoice processing, AI-powered data extraction, and real-time analytics, allowing businesses to track compliance, identify cost discrepancies, and improve procurement decisions. With cloud-based deployment and scalable architecture, the solution supports enterprise-level workloads while maintaining performance and data isolation across tenants. The system includes automated invoice ingestion via file upload or integrations, AI-powered OCR extraction of invoice data, contract cost validation with variance detection, vendor and store management, proof-of-delivery reconciliation, real-time dashboards and analytics, role-based user access, multi-tenant configuration, exception reporting, Excel and PDF exports, background processing for large workloads, error tracking, and audit logging to ensure reliability and compliance. Built using React, TypeScript, Tailwind CSS, Material UI, Django, Django REST Framework, PostgreSQL, Redis, Celery, AWS S3, Docker, and cloud deployment . A scalable financial operations platform that helps retail businesses reduce vendor overbilling, automate invoice workflows, and gain real-time visibility into procurement and cost performance. #SaaS #EnterpriseSoftware #React #Django #FinTech #RetailTech #InvoiceAutomation #B2BSoftware #CloudApplications #MultiTenant #AIProcessing #BusinessAutomation
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Cover image for Kua Sky is a niche
Kua Sky is a niche e-commerce brand built exclusively for the skydiving community, offering premium performance clothing and gear designed for athletes who demand both function and style in the air. The platform solves a real gap in the market skydiving apparel has historically been generic or limited by delivering sport-specific gear, from freefly jumpsuits to outerwear and accessories, all tailored to the demands of the sport and the identity of the athlete wearing it. What sets this project apart is the custom suit designer, a live interactive coloring application that lets customers design their own jumpsuit and visualize the final product in real time before placing an order. This eliminates purchase hesitation and dramatically improves buyer confidence for high-ticket items. The store also supports custom jersey and face shield orders, a curated catalog of in-stock and sublimated jumpsuits, free shipping incentives, international shipping, gift cards, and a brand ambassador program that drives community-led growth. The platform is built on WordPress with WooCommerce handling the full e-commerce experience, supported by a custom visual product configurator, wishlist functionality, and an integrated account and order management system. Kua Sky is a strong example of a vertical commerce build purpose-built for a passionate niche, with the kind of customization tooling and brand depth that turns first-time buyers into loyal community members. #ecommerce #woocommerce #wordpress #customproductdesigner #nicheecommerce #sportswear #outdoorapparel #skydiving #customclothing #visualconfigurator #brandbuilding #onlineshop #performancegear #webdevelopment #shopdesign
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Cover image for Twin Frontend (Lyona App) is
Twin Frontend (Lyona App) is a dual-platform conversational AI application designed to power both web and mobile experiences from a single shared codebase. Built with a modern monorepo architecture, the platform enables real-time AI conversations, voice interactions, and dynamic interface rendering, allowing businesses to deploy scalable conversational products quickly. The system addresses the challenge of building and maintaining separate applications by unifying business logic, UI behavior, and communication layers across platforms, reducing development time while ensuring consistent user experiences. The platform is built for organizations developing AI assistants, customer support tools, SaaS dashboards, or conversational applications that require real-time responsiveness and cross-device synchronization. Users can interact with AI through text or voice, while the interface dynamically adapts based on backend-driven UI configurations. With enterprise-grade performance, secure authentication, and real-time updates, the application supports scalable deployments and continuous feature expansion without rebuilding separate frontends. The application includes real-time AI chat with streaming responses, voice recording and playback for conversational interaction, dynamic UI rendering with dashboards, forms, tables, charts, and interactive components, cross-platform synchronization between web and mobile, push and in-app notifications, secure authentication and session handling, role-based access control, performance optimization with lazy loading and memoization, automatic reconnection and error handling, and shared state management ensuring consistent behavior across devices. Built using React, React Native, TypeScript, Tailwind CSS, Ant Design, Material UI, Redux Toolkit, Socket.IO (http://Socket.IO), Docker, Kubernetes, and modern CI/CD infrastructure. A scalable conversational AI foundation designed to accelerate development of real-time, cross-platform AI applications for enterprise and SaaS environments. #ConversationalAI #React #ReactNative #SaaSDevelopment #AIApplications #RealtimeApps #TypeScript #WebDevelopment #MobileDevelopment #EnterpriseSoftware #Monorepo #ReduxToolkit
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Cover image for ExpenseMate is a full-stack personal
ExpenseMate is a full-stack personal finance and expense tracking application designed to help individuals manage all their finances in one place. The platform allows users to create multiple accounts, track income and expenses, monitor balances in real time, and visualize spending patterns through interactive dashboards. It solves the common problem of scattered financial tracking by bringing bank accounts, cash, investments, and loans into a single, organized system that is easy to use and accessible from anywhere. The application is built for everyday users, freelancers, and small business owners who need better visibility into their financial activity. With secure user authentication and isolated data, ExpenseMate provides a reliable way to monitor financial health, identify spending trends, and make informed decisions. The clean dashboard, responsive interface, and real-time calculations create a smooth experience while maintaining accuracy across accounts and transactions. Users can create multiple accounts with different currencies, track income and expenses, transfer funds between accounts, manage personal loans, and organize transactions using hierarchical categories. The platform includes advanced filtering, search, and CSV export capabilities, along with interactive charts showing monthly trends and category-based spending. Additional features include drill-down analytics, account balance tracking, dark and light themes, secure authentication, and a responsive data table for managing transactions efficiently. Built using Next.js, TypeScript, Tailwind CSS, shadcn/ui, Supabase, PostgreSQL, Zustand, TanStack Table, and Recharts. A scalable and user-friendly finance tracking solution designed to simplify money management and provide clear financial insights for real-world use. #NextJS #Fintech #ExpenseTracker #PersonalFinance #WebApplication #FullStackDevelopment #TypeScript #Supabase #DashboardDesign #SaaSDevelopment
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